基于PCI/CPCI接口的1553B总线模块设计与实现

在概述PCI/CPCI总线的发展、特点及应用的基础上,详细介绍基于PCI/CPCI接口的1553B总线模块的设计方法及其关键技术。     

XML技术在CTCS-3级仿真测试管理中的应用

仿真测试管理器是CTCS-3级仿真测试平台的重要组成部分.将XML技术应用于仿真测试管理器,实现其各仿真测试节点初始化设置、网络参数配置和信息记录3个功能,促进了仿真测试管理器的开发,优化了CTCS-3级的仿真测试过程.     

浅谈基于CAN现场总线的数据采集系统

本文以微机监测为例介绍了基于CAN总线的数据采集方案。     

自动化驼峰溜放数据自动分析的实现

把驼峰自动化控制系统产生的控制数据，经专用软件的分析和统计，再对日常维护作业进行指导，提出维修的重点。     

Improving assimilation of SeaWiFS data by the application of bias correction with a local SEIK filter

Ocean-biogeochemical models show typically significant errors in the representation of chlorophyll concentrations. The model state can be improved by the assimilation of satellite chlorophyll data with algorithms based on the Kalman filter. However, these algorithms do usually not account for the possibility that the model prediction contains systematic errors in the form of model bias. Accounting explicitly for model biases can improve the assimilation performance. To study the effect of bias estimation on the estimation of surface chlorophyll concentrations, chlorophyll data from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) are assimilated on a daily basis into the NASA Ocean Biogeochemical Model (NOBM). The assimilation is performed by the ensemble-based SEIK filter combined with an online bias correction scheme. The SEIK filter is simplified here by the use of a static error covariance matrix. The performance of the filter algorithm is assessed by comparison with independent in situ data over the 7-year period 1998–2004. The bias correction results in significant improvements of the surface chlorophyll concentrations compared to the assimilation without bias estimation. With bias estimation, the daily surface chlorophyll estimates from the assimilation show about 3.3% lower error than SeaWiFS data. In contrast, the error in the global surface chlorophyll estimate without bias estimation is 10.9% larger than the error of SeaWiFS data.     

Evolving the subspace of the three-dimensional multiscale ocean variability: Massachusetts Bay

A data and dynamics driven approach to estimate, decompose, organize and analyze the evolving three-dimensional variability of ocean fields is outlined. Variability refers here to the statistics of the differences between ocean states and a reference state. In general, these statistics evolve in time and space. For a first endeavor, the variability subspace defined by the dominant eigendecomposition of a normalized form of the variability covariance is evolved. A multiscale methodology for its initialization and forecast is outlined. It combines data and primitive equation dynamics within a Monte-Carlo approach.The methodology is applied to part of a multidisciplinary experiment that occurred in Massachusetts Bay in late summer and early fall of 1998. For a 4-day time period, the three-dimensional and multivariate properties of the variability standard deviations and dominant eigenvectors are studied. Two variability patterns are discussed in detail. One relates to a displacement of the Gulf of Maine coastal current offshore from Cape Ann, with the creation of adjacent mesoscale recirculation cells. The other relates to a Bay-wide coastal upwelling mode from Barnstable Harbor to Gloucester in response to strong southerly winds. Snapshots and tendencies of physical fields and trajectories of simulated Lagrangian drifters are employed to diagnose and illustrate the use of the dominant variability covariance. The variability subspace is shown to guide the dynamical analysis of the physical fields. For the stratified conditions, it is found that strong wind events can alter the structures of the buoyancy flow and that circulation features are more variable than previously described, on multiple scales. In several locations, the factors estimated to be important include some or all of the atmospheric and surface pressure forcings, and associated Ekman transports and downwelling/upwelling processes, the Coriolis force, the pressure force, inertia and mixing.     

移动式信号设备故障记录分析装置

采用便携采集模块及综合采集设备进行现场采集,并配合数据分析软件,对于铁路现场偶发信号故障及曲线波动异常等不明故障进行监测及分析,可有效提高信号设备故障定位的准确性、方便性及时效性。     

DAQBench在人机界面编程中的应用

简要介绍了ActiveX控件的原理和使用DAQBench编程的方法,对人机界面的开发做了进一步的阐述。     

中国铁路客票发售和预订系统5.0版的研究与实现

为适应铁路客运快速网的建设与发展，满足铁路第6次大提速以及客运新产品销售的需求，研发铁路客票系统5．0版。系统继续采用集中与分布相结合的客户／服务器体系结构，席位全部集中到各地区数据中心，车站可不设置服务器。系统为3级体系结构，由铁道部数据中心、地区数据中心和所辖车站系统组成；每一级系统均包括数据逻辑层、应用逻辑层和表示逻辑层。系统数据库包括基础数据库、运行数据库、营销数据库和算法库4个库。系统功能设计包括铁道部中心系统功能体系，地区中心系统功能体系和车站系统功能体系3部分。系统创新性地实现了席位的集中管理和售票组织策略；开发了客票应用服务器、客票接口平台、数据传输系统和客票营销系统；支持取消车站服务器，支持地区中心由业务中心向数据中心转变；优化了票价计算策略的和数据复制策略等。系统已于2006年8月底完成在全路的推广与实施。     

水利工程测绘数字化分析

简要分析了野外数据的采集及全站仪在其中的运用与注意事项,概述内业数字化生产流程及各部分的工作内容。